{"id":"W26936316","doi":"10.1111/papr.12435","title":"Underemployment, Unemployment, and Mental Health","year":2012,"lang":"en","type":"article","venue":"","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underemployment; Unemployment; Mental health; Labour economics; Economics; Psychology; Psychiatry; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000558842,0.00007685408,0.000196178,0.0008130551,0.00145464,0.0012975,0.0001819236,0.0002807616,0.001570077],"category_scores_gemma":[0.00192854,0.00009101114,0.0002570292,0.0008346153,0.0004933841,0.0003296523,0.000916604,0.0004351275,0.00008197645],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002033154,"about_ca_system_score_gemma":0.003724908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2252986,"about_ca_topic_score_gemma":0.3922494,"domain_scores_codex":[0.9995628,0.00006773564,0.00002148253,0.0000195108,0.000113179,0.0002153361],"domain_scores_gemma":[0.9990067,0.0001190114,0.0003412153,0.00001919514,0.0001172751,0.0003965916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003691689,0.00007143557,0.9784817,0.00005446901,0.00003015112,0.0001088602,0.001179536,0.00007449562,0.00008714031,0.0007047412,0.0004607329,0.01870978],"study_design_scores_gemma":[0.000001024507,0.0000197709,0.9972261,0.00003928513,0.00001356098,0.0000450952,0.001570666,0.00007162338,0.0000148302,0.000127949,0.0008678839,0.000002311343],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905075,0.004613097,0.0000322897,0.001329443,0.00002933473,0.000009400404,0.0001298865,0.000001878262,0.003347261],"genre_scores_gemma":[0.9967657,0.002621016,0.00003421164,0.00008259946,0.00002063231,0.000003163539,0.00005299217,4.06193e-7,0.0004191962],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2252986,"threshold_uncertainty_score":0.4479743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09275304332229733,"score_gpt":0.439021298825036,"score_spread":0.3462682555027387,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}